https://scholars.lib.ntu.edu.tw/handle/123456789/121835
Title: | Improved pronunciation modelling by inverse word frequency and pronunciation entropy | Authors: | Tsai, Ming-yi Chou, Fu-chiang LIN-SHAN LEE |
Issue Date: | Dec-2001 | Start page/Pages: | 53-56 | Source: | 2001 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 - Conference Proceedings | Conference: | IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2001 | Abstract: | We propose a new approach to rank the potential pronunciations for each word by their pronunciation frequency and inverse word frequency (pf-iwf) weights. The pronunciation set obtained in this way can then be pruned with different criteria. This approach not only considers the frequencies of occurrence of the pronunciations, but tries to minimize the extra confusion which may be introduced by pronunciation variations, such that the best overall performance can be achieved. A new entropy-based approach for pruning the pronunciation variations is also proposed. Experimental results showed that the proposed approach can not only improve the recognition performance, but make the performance more stable and less sensitive to various parameters, factors and options including the different pruning criteria. All the experiments were performed with the LDC Mandarin Call Home corpus, although the approaches and principles are definitely not limited to Mandarin Chinese. © 2001 IEEE. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2007041910043003 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962892877&doi=10.1109%2fASRU.2001.1034587&partnerID=40&md5=d75f97e574965c3087f9d878c5ba9af7 |
ISSN: | N/A | Other Identifiers: | N/A | DOI: | 10.1109/ASRU.2001.1034587 | SDG/Keyword: | Data mining; Entropy; Linguistics; Entropy based approach; Mandarin Chinese; New approaches; Pronunciation modelling; Pronunciation variation; Word frequencies; Speech recognition |
Appears in Collections: | 電信工程學研究所 |
File | Description | Size | Format | |
---|---|---|---|---|
01034587.pdf | 369.38 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.